refactor: 统一CLI输出格式为标准JSON

skills/kb-ocr-processor/ocr_processor.py

@@ -304,7 +304,10 @@ def main():
     input_dir = args.input
     if args.video:
         if not os.path.exists(args.video):
-            print(f"❌ 视频文件不存在: {args.video}")
+            print(json.dumps({
+                "success": False,
+                "error": f"视频文件不存在: {args.video}"
+            }, ensure_ascii=False, indent=2))
             return 1
 
         # 创建临时帧目录
@@ -312,6 +315,10 @@ def main():
         input_dir = extract_frames(args.video, frames_dir, fps=args.fps)
 
         if not input_dir:
+            print(json.dumps({
+                "success": False,
+                "error": "截帧失败"
+            }, ensure_ascii=False, indent=2))
             return 1
 
     # 初始化处理器
@@ -324,19 +331,29 @@ def main():
         # 保存结果
         processor.save_results(results, args.output, merge=args.merge)
         
-        # 打印摘要
+        # 统一输出格式
         total_texts = sum(1 for r in results if r.get("text"))
         avg_conf = sum(r.get("confidence", 0) for r in results) / len(results) if results else 0
         
-        print(f"\n=== 摘要 ===")
-        print(f"处理帧数: {len(results)}")
-        print(f"识别到文字的帧: {total_texts}")
-        print(f"平均置信度: {avg_conf:.2%}")
+        output = {
+            "success": True,
+            "filename": Path(args.output).name,
+            "filepath": str(Path(args.output).resolve()),
+            "message": f"OCR处理完成",
+            "stats": {
+                "total_frames": len(results),
+                "frames_with_text": total_texts,
+                "avg_confidence": round(avg_conf, 4)
+            }
+        }
+        print(json.dumps(output, ensure_ascii=False, indent=2))
+        return 0
     else:
-        print("未处理到任何结果")
+        print(json.dumps({
+            "success": False,
+            "error": "未处理到任何结果"
+        }, ensure_ascii=False, indent=2))
         return 1
-    
-    return 0
 
 
 if __name__ == "__main__":